zhumengliang Goto Github PK

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

awesome-ensemble-learning

Ensemble learning related books, papers, videos, and toolboxes

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-semi-supervised-learning

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

awesome-source-free-test-time-adaptation

[2022] A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation

awesome-transfer-learning

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

buildingmachinelearningsystemswithpython

Source Code for the book Building Machine Learning Systems with Python

conference-accepted-paper-list

Some Conferences' accepted paper lists (including AAAI, IJCAI, KDD, WWW, ICLR, ICML...)

deblurgan

Image Deblurring using Generative Adversarial Networks

deeplearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

dtcc_tta_mfd

educate-resource-for-machine-learning

This ebook from Jason Brownlee, and many others.

few-shot

Repository for few-shot learning machine learning projects

hands-on-ml-zh

:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

interpretable-ml-book

Book about interpretable machine learning

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

machine-learning

Content for Udacity's Machine Learning curriculum

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

numpy-100

100 numpy exercises (100% complete)

pandas_exercises

Practice your pandas skills!

recommended-journals-for-intelligent-fault-diagnosis

智能故障诊断期刊推荐

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

shot

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

tensorflow2_tutorials_chinese

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

time-series-analysis-tutorial

时间序列分析教程

tradingview-api

📈 Get real-time stocks from Tradingview

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习